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Aditya Mohan
Aditya Mohan
Doctoral Researcher at Leibniz Universität Hannover
Verified email at ai.uni-hannover.de - Homepage
Title
Cited by
Cited by
Year
Automl in the age of large language models: Current challenges, future opportunities and risks
A Tornede, D Deng, T Eimer, J Giovanelli, A Mohan, T Ruhkopf, S Segel, ...
arXiv preprint arXiv:2306.08107, 2023
212023
Contextualize Me--The Case for Context in Reinforcement Learning
C Benjamins, T Eimer, F Schubert, A Mohan, S Döhler, A Biedenkapp, ...
arXiv preprint arXiv:2202.04500, 2022
212022
Structure in Deep Reinforcement Learning: A Survey and Open Problems
A Mohan, A Zhang, M Lindauer
Journal of Artificial Intelligence Research 79, 1167-1236, 2024
9*2024
Masif: Meta-learned algorithm selection using implicit fidelity information
T Ruhkopf, A Mohan, D Deng, A Tornede, F Hutter, M Lindauer
Transactions on Machine Learning Research, 2022
82022
Autorl hyperparameter landscapes
A Mohan, C Benjamins, K Wienecke, A Dockhorn, M Lindauer
arXiv preprint arXiv:2304.02396, 2023
72023
Learning activation functions for sparse neural networks
M Loni, A Mohan, M Asadi, M Lindauer
International Conference on Automated Machine Learning, 16/1-19, 2023
62023
Towards meta-learned algorithm selection using implicit fidelity information
A Mohan, T Ruhkopf, M Lindauer
arXiv preprint arXiv:2206.03130, 2022
22022
Pulmonary Embolism Detection
A Mohan, OC Gosha
1
A Patterns Framework for Incorporating Structure in Deep Reinforcement Learning
A Mohan, A Zhang, M Lindauer
Sixteenth European Workshop on Reinforcement Learning, 2023
2023
RL Hyperparameter Landscapes
A Mohan, C Benjamins, K Wienecke, A Dockhorn, M Lindauer
Understanding AutoRL Hyperparameter Landscapes
A Mohan, C Benjamins, K Wienecke, A Dockhorn, M Lindauer
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Articles 1–11